Computer-based monitoring of global cardiovascular dynamics during acute pulmonary embolism and septic shock in swine

in Critical Care: the Official Journal of the Critical Care Forum (2012), 16 (Suppl 1)

Model-based cardiovascular monitoring of acute pulmonary embolism in porcine trials

in Critical Care: the Official Journal of the Critical Care Forum (2011), 15 (Suppl 1)

Porcine trial validation of model-based cardiovascular monitoring of acute pulmonary embolism

in Proceedings of ANZICS 2011 (2011)

Processing aortic and pulmonary artery waveforms to derive the ventricle time-varying elastance

in Proceedings of the 18th IFAC World Congress, 2011 (2011)

Validation of subject-specific cardiovascular system models from porcine measurements.

in Computer Methods & Programs in Biomedicine (2011)

A previously validated mathematical model of the cardiovascular system (CVS) is made subject-specific using an iterative, proportional gain-based identification method. Prior works utilised a complete set ... [more ▼]

A previously validated mathematical model of the cardiovascular system (CVS) is made subject-specific using an iterative, proportional gain-based identification method. Prior works utilised a complete set of experimentally measured data that is not clinically typical or applicable. In this paper, parameters are identified using proportional gain-based control and a minimal, clinically available set of measurements. The new method makes use of several intermediary steps through identification of smaller compartmental models of CVS to reduce the number of parameters identified simultaneously and increase the convergence stability of the method. This new, clinically relevant, minimal measurement approach is validated using a porcine model of acute pulmonary embolism (APE). Trials were performed on five pigs, each inserted with three autologous blood clots of decreasing size over a period of four to five hours. All experiments were reviewed and approved by the Ethics Committee of the Medical Faculty at the University of Liege, Belgium. Continuous aortic and pulmonary artery pressures (P(ao), P(pa)) were measured along with left and right ventricle pressure and volume waveforms. Subject-specific CVS models were identified from global end diastolic volume (GEDV), stroke volume (SV), P(ao), and P(pa) measurements, with the mean volumes and maximum pressures of the left and right ventricles used to verify the accuracy of the fitted models. The inputs (GEDV, SV, P(ao), P(pa)) used in the identification process were matched by the CVS model to errors <0.5%. Prediction of the mean ventricular volumes and maximum ventricular pressures not used to fit the model compared experimental measurements to median absolute errors of 4.3% and 4.4%, which are equivalent to the measurement errors of currently used monitoring devices in the ICU ( approximately 5-10%). These results validate the potential for implementing this approach in the intensive care unit. [less ▲]

Model-based cardiac disease diagnosis in critical care

in Proceedings of the Health Research Society of Canterbury (HRSC) Clinical Meeting 2010 (2010)

A Model-based Approach to Cardiovascular Monitoring of Pulmonary Embolism

in Proceedings of CONTROL 2010 (2010)

Unique parameter identification of a cardiovascular system model using feedback control

in Proc. 7th Intl Conf on Control and Automation (ICCA09) (2009, December)